MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Updates to ARF default parameters. The proposed configuration resembles the ARF_fast configuration defined in the original paper.
Updates to ARFReg default parameters. The proposed configuration resembles the ARFReg-inv, but using m=60% (same as ARF).
Updates to ARFFIMTDD. Removed the option to NOT build regression trees.
Updates to FIMTDD. Added the reference to the original paper.